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Blog Tells What Kind of Personality You Have: Egogram Estimation from Japanese Weblog

机译:博客讲述了你有什么样的个性:日本博客的egogram估计

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In this paper, we investigate personality estimation from Japanese weblog text. Among various personality types, we focus on Egogram, which has been used in Transactional Analysis and is strongly related to the communicative behavior of individuals. Estimation is performed using the Multinomial Naive Bayes classifier with some feature words that are selected based on the information gain. The validity of this approach was evaluated with real weblog text of 551 subjects. The results show that our approach achieved 12-25% improvement from baseline. The feature words selected for the estimation are strongly correlated with the characteristics of Egogram.
机译:在本文中,我们调查了日本博客文本的人格估计。在各种人格类型中,我们专注于eGoGram,它已被用于交易分析,并且与个人的交际行为密切相关。使用多项式朴素贝叶斯分类器进行估计,其中基于信息增益选择一些特征词。使用551个科目的真实博客文本评估了这种方法的有效性。结果表明,我们的方法从基线实现了12-25%。为估计选择的特征词与eGoGram的特征密切相关。

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